This study aims to address the pressing challenge of accurately identifying skin cancer through advanced AI-driven diagnostic methods, enhancing the potential for early intervention and better ...

A "first of its kind" study led by the university and Check4Cancer has led to the development of a new AI system which can identify skin cancer through skin lesions, descriptions, and a patient ...

Researchers Shed Light on How to Predict Which Skin Cancer Patients Are Most Likely to Respond to Immunotherapy Jan. 8, 2025 — An international team of UK and US scientists discovered that the ...

LMU researchers have discovered how the interplay between a key protein and an endolysosomal ion channel promotes tumor development in skin cancer. Melanoma arising from pigment-producing cells ...

Identifying skin cancer cases through diagnostic codes could also introduce misclassification bias due to potential errors or inconsistencies in coding, and the lack of detailed clinical data ...

Melanoma, one of the most aggressive forms of skin cancer, often metastasizes to bones, causing severe bone loss, an increased risk of fractures, and significant pain.

SciBase Holding AB ("SciBase") (STO: SCIB), a leading developer of augmented intelligence-based solutions for skin disorders announced today that a new review article has been published highlighting ...

The review points to Nevisense's high sensitivity for detection of both melanoma and non-melanoma skin cancer, highlighting Nevisense as a valuable tool in identifying malignant skin lesions. The ...

A new analysis of the Breast Cancer Index (BCI) may help identify women with HR-positive breast cancer who could potentially benefit from shorter or less-intensive treatment. Marie-France Jilderda ...